Top Data & Analytics Jobs

Drive analytics for Payment Operations by building scalable data pipelines, improving data models, developing capacity forecasting models, defining operational metrics, and creating actionable reports and visualizations. Partner with senior stakeholders to translate insights into customer and operational improvements, identify payment-processing friction points, and support data-driven planning and decision-making.

Drive pricing-led growth through experiments, customer pricing comprehension measurement, segment economics, and cross-border and account pricing strategy. Partner across Product, Pricing, Design, Finance, Marketing, and Engineering to translate insights into decisions. Lead analytical roadmaps, build scalable data infrastructure with SQL and dbt, influence senior stakeholders, mentor analysts, and establish technical best practices.

Conduct exploratory data analysis to improve financial crime controls and transaction monitoring rules. Tune thresholds to balance detection accuracy with operational workload, support partner risk monitoring, and maintain financial crime key risk indicators and reporting. Perform deep dives into emerging risks, identify compliance gaps, and recommend measures to mitigate suspicious activity across Wise Platform. Collaborate with Product, Compliance, Fincrime, KYC, and Business Operations teams.

Leads analytics strategy and execution for Wise’s Internal Audit function, managing 1–2 analysts while delivering audit analytics, automation, continuous testing, AI initiatives, and management-information dashboards. Partners with stakeholders across risk, finance, technology, operations, financial crime, analytics, and engineering. Ensures analytical quality, rigor, and impactful insights across global audit programs.

Lead analytics for Wise’s APAC Financial Crime team, using data to improve risk controls, detect financial crime, and balance security with customer experience. Own key metrics, reporting, visualizations, and analytical frameworks; partner with product managers, data scientists, engineers, and operations teams to identify opportunities and develop rules and models. Lead and coach a team of three analysts while driving data-informed product and operational decisions.

Own the global marketing measurement framework spanning attribution, experimentation, and Marketing Mix Models. Lead two analysts, develop the measurement product roadmap, build scalable attribution features using SQL, Python, and dbt, and generate insights to optimize marketing channels and spend. Partner with marketing, data science, engineering, and finance teams while serving as the subject matter expert on advertising effectiveness and communicating recommendations to technical and non-technical stakeholders.

Analyze paid social audiences and platform performance to identify bidding, budget, and testing opportunities. Design experiments, validate measurement signals, maintain dbt data pipelines, and build reliable BI dashboards. Develop analytical frameworks for budget optimization, investigate anomalies, and communicate insights, risks, and trade-offs to marketing stakeholders. Collaborate with platform, data science, marketing science, and analytics engineering teams while applying attribution, unit economics, incrementality, and marketing measurement expertise.

Lead Wise’s Growth analytics team, managing three analysts and influencing company and customer decisions through data. Responsibilities include analyzing growth drivers, developing repeatable performance frameworks, partnering with data science teams on customer models, curating datasets, defining metrics, statistical modeling, deep-dive analysis, stakeholder management, and communicating insights through data visualization and storytelling.

Lead end-to-end growth and marketing analytics across regions, channels, products, and customer segments. Use SQL, Python, AI, and automation to identify performance drivers, opportunities, risks, and trade-offs. Build dashboards, analytical frameworks, automated reporting, and scalable workflows. Partner with senior marketing and product stakeholders, translate ambiguous questions into actionable recommendations, and connect insights to measurable business impact.

Analyze Wise Platform pricing, costs, and profitability to identify pricing improvements and growth opportunities. Investigate complex cost data, improve data quality and allocation methodologies, explain product economics, monitor financial performance, and support pricing model enhancements. The role requires advanced SQL, visualization, dbt data modeling, stakeholder influence, and collaboration across analytics, engineering, and business teams.